Senior Data Infrastructure Architect

Job Description Become a vital part of our Oracle Cloud Infrastructure (OCI) team, where we are transforming enterprise cloud solutions with a vibrant group of innovators committed to excellence. Enjoy the agility of a startup alongside the vast resources of a leading enterprise software provider, as we empower our teams to develop groundbreaking solutions that deliver exceptional value to our clients. In our OCI Horizon Data Platform & Analytics division, we manage a comprehensive self-service data platform utilized by over 450 partner teams across OCI. We enable advanced analytics, machine learning, and generative AI-powered solutions that yield actionable insights and drive meaningful decision-making across diverse functions, including finance, operations, products, and support. We are seeking a Principal Engineer with a strong background in establishing and scaling data infrastructure, particularly for advanced analytics and AI/ML products. In this essential role, you will lead the architecture, development, and deployment of next-generation analytics solutions, ensuring our systems are secure, scalable, and high-performing. This influential position requires collaboration across teams, shaping key architectural decisions, optimizing data pipelines, and pioneering innovative AI-driven analytics on the Oracle Cloud. Responsibilities: Lead the design, implementation, and optimization of scalable, high-performance data pipelines for large datasets, enabling insights and machine learning operations for partner teams. Establish data and operational governance across the entire data lifecycle, from ingestion to consumption. Create user-friendly interfaces on curated datasets for customers to extract valuable information from various sources. Contribute to the design of a next-generation scalable data platform and data lake, focusing on performance, availability, and data quality. Architect and implement secure, scalable, and highly available infrastructure for advanced analytics solutions on Oracle Cloud. Oversee proactive query optimization initiatives. Contribute to deploying complex analytics and machine learning pipelines, ensuring robust performance and minimal downtime across multi-region environments. Influence deliverables across multiple engineering teams by leading design reviews and contributing to development standards. Champion automation initiatives, developing advanced CI/CD pipelines and enforcing lifecycle policies to enhance development and operations. Maintain high standards for security, compliance, and operational excellence at scale. Collaborate closely with engineering, data science, and business teams to convert strategic goals into innovative production-grade solutions while actively addressing operational challenges. Mentor fellow engineers while remaining engaged in coding, architecture reviews, and technical problem-solving. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 7+ years of hands-on experience in software or data engineering, including designing and operating large-scale data infrastructure. Strong programming skills in Java, Python, or Scala alongside SQL, with a proven record of delivering production-quality data solutions. Extensive knowledge of relational and non-relational data stores, including SQL and performance tuning. Proven experience in building data governance frameworks for the complete data lifecycle. Hands-on experience in developing data pipelines and orchestration using tools like Apache Airflow. Experience implementing security best practices in software engineering. Ability to collaborate with product management to turn business requirements into technical specifications. Experience architecting cloud-based data infrastructure that is secure, scalable, and highly available. Familiarity with deploying CI/CD pipelines and automation tools like Terraform. Understanding of DevOps/ML Ops practices, with experience managing analytics or ML models in production being a plus. Ability to design and maintain RESTful APIs Strong problem-solving skills to resolve complex technical challenges. Experience with containerization technologies. Preferred Qualifications: Master's degree or higher in Computer Science or a related field. 10+ years of experience in data infrastructure, cloud infrastructure, backend engineering, DevOps, or ML Ops. Experience optimizing large-scale analytics workloads. Experience in building production-grade MLOps workflows and deploying ML/AI models at scale. Familiarity with regulated environments and automated compliant infrastructure. Knowledge of building NLP to SQL GenAI assistants. Advanced coding skills in Python and Java, with experience in distributed computing frameworks. Prior experience supporting production systems or cloud operations. Deep understanding of cloud platform architectures (AWS, OCI, Azure) and best operational practices. Strong knowledge of data structures, algorithms, and software engineering principles. Experience driving technical vision for AI-powered analytics solutions. Benefits: Comprehensive medical, dental, and vision insurance. Disability and life insurance. Flexible Spending Accounts for healthcare and dependent care. 401(k) with company match. Flexible vacation policies and paid time off. Paid holidays and sick leave. Paid parental leave and adoption assistance. Employee Stock Purchase Plan. Financial planning and legal support services. Voluntary benefits, including various insurance options. This role requires compliance with applicable customer health mandates. Oracle is committed to equal employment opportunities for all qualified applicants regardless of race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or veteran status.

Created: 2026-03-07